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All Journal Jurnal Teknik Industri MATAPPA: Jurnal Pengabdian Kepada Masyarakat Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Cultural and Community Development JISO : Journal of Industrial and Systems Optimization Community Empowerment Prima Abdika: Jurnal Pengabdian Masyarakat PELS (Procedia of Engineering and Life Science) KOLONI Physical Sciences, Life Science and Engineering Academia Open Abdimas Pedagogi: Jurnal Ilmiah Pengabdian kepada Masyarakat
Indah Apriliana Sari Wulandari
Program Studi Teknik Industri, Universitas Muhammadiyah Sidoarjo
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Mentoring of Opak Samiler MSMEs towards SDG's 9 Indonesia based on lean tools Indah Apriliana Sari; Rahmah Utami Budiandari; Satrio Sudarso; Fajar Sulastri; Fitriyah Nur Indahsari
Community Empowerment Vol 9 No 12 (2024)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12392

Abstract

The Opak Samiler business group in Wonosunyo Village uses manual production methods, resulting in low productivity only 3 kg of dry opak per day, produced only in their free time after fieldwork. The lengthy and skill-intensive dough flattening process, along with uneven opak thickness, frequently receives consumer complaints. High demand, particularly during Eid al-Fitr, is difficult to meet due to limited production capacity and weather conditions. Therefore, this community service project aimed to increase the business group's productivity by implementing Lean Tools-based work aids: a mechanical samiler printer and a drying machine. The implementation involved socializing and training the business group members on tool use, and evaluating the production process post-implementation. Consequently, these work aids increased productivity by up to 65% compared to conventional methods.
Identification of the Quality of Ready-to-Eat Food Production Waste Water Using the MCDM Approach: Identifikasi Kualitas Air Sisa Produksi Makanan Siap Saji Dengan Menggunakan Pendekatan MCDM Indah Apriliana Sari Wulandari; Nur Ravita Hanum; Fitria Trisna Sisiliani
Academia Open Vol. 8 No. 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.6956

Abstract

The rapid growth of Micro, Small, and Medium Enterprises (MSMEs) in the fast-food industry has raised concerns about the environmental impact, particularly regarding waste generation and its potential to pollute water sources. This research conducted in the Sidoarjo area aimed to identify the influence of MSME fast-food waste on water quality parameters, including Temperature, Turbidity, TDS, TSS, pH, DO, COD, Nitrate, Heavy Metal Cd, Total Coliform, and E-Coli. The study employed the Analytic Network Process (ANP) method, aided by Super Decision software version 2.10, to rank the most influential water quality criteria and prioritize alternative strategies to mitigate environmental issues. The results highlight crucial water quality parameters affected by MSME fast-food waste and present actionable insights for minimizing environmental impacts and safeguarding human health and the ecosystem. Highlights: Significant Environmental Impact: The rapid growth of Micro, Small, and Medium Enterprises (MSMEs) in the fast-food industry poses a significant environmental impact due to the waste generated during the production process. Water Quality Parameters: The study focuses on analyzing various water quality parameters affected by MSME fast-food waste, including Temperature, Turbidity, TDS, TSS, pH, DO, COD, Nitrate, Heavy Metal Cd, Total Coliform, and E-Coli. ANP Method for Mitigation: To address the environmental challenges posed by fast-food MSME waste, the research employs the Analytic Network Process (ANP) method, supported by Super Decision software version 2.10, to prioritize effective and sustainable alternatives for minimizing environmental pollution. Keywords: MSME, fast-food waste, water quality, environmental issues, ANP method
SPC and Kaizen Reveal Dominant Yarn Production Defects: SPC dan Kaizen Mengungkap Cacat Produksi Benang yang Dominan mukamat dwiki hariantoro; indah apriliana sari wulandari
Academia Open Vol. 10 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.10.2025.11727

Abstract

General Background: Quality control in textile manufacturing is essential to maintain production consistency and minimize nonconforming products that can disrupt operational performance. Specific Background: PT EQY, a yarn spinning manufacturer, recorded 1,475 bales of nonconforming products from a total production of 39,719 bales during August 2023–July 2024, exceeding the company’s tolerance threshold and indicating quality deviations within the production process. Knowledge Gap: Prior quality monitoring within the company lacked integrated analytical methods that systematically combined statistical monitoring tools with continuous improvement strategies to comprehensively identify defect patterns and corrective actions. Aims: This study aims to identify dominant defect types in yarn production, evaluate process stability using Statistical Process Control tools, and formulate corrective strategies based on Kaizen principles. Results: The analysis identified three dominant defect categories, including swallot defects totaling 560 bales, products without tail totaling 473 bales, and color inconsistency totaling 442 bales. Control chart analysis indicated several production periods exceeding statistical control limits, reflecting unstable production processes. Root cause analysis using fishbone diagrams identified machine maintenance scheduling, production methods, workforce discipline and training, and environmental conditions as primary contributing factors. Novelty: This research integrates Statistical Process Control with Kaizen-based analytical frameworks, including 5W-1H analysis, Five M checklist, and 5S implementation, within yarn production quality monitoring. Implications: The proposed analytical framework provides structured guidance for identifying production deviations, supporting systematic waste reduction and continuous quality monitoring in textile manufacturing operations. Highlights: Swallot Category Recorded the Highest Nonconforming Quantity During the Observation Period. Statistical Monitoring Identified Several Production Months Exceeding Control Boundaries. Root Cause Mapping Identified Maintenance Routines, Operator Training, Procedural Practices, and Workplace Conditions as Primary Contributors. Keywords: Statistical Process Control, Kaizen, Yarn Production, Quality Monitoring, Production Defects
Evaluasi Faktor Penyebab Downtime Dengan Pendekatan OEE dan FMEA Pada Proses Produksi Mesin MGTR-RF15 Meirani Id’ha Khusainiah; Indah Apriliana Sari Wulandari
Physical Sciences, Life Science and Engineering Vol. 1 No. 4 (2024): September
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v1i4.692

Abstract

This research evaluates the efficiency of the MGTR-RF15 machine at RMP that focuses on raffia packing. In the last 6 months, MGTR-RF15 has experienced 100 times downtime which has caused the production process to stop temporarily, hampering the fulfillment of customer requests and increasing logistics costs. This study aims to determine the level of machine efficiency, determine the cause of the highest risk, and provide alternative suggestions for improvement. This research uses the Overall Equipment Effectiveness (OEE) and Failure Mode and Effect Analysis (FMEA) approaches. MGTR-1F15 OEE value of 82.91% is below international standards with availability as the dominant factor affecting efficiency. The FMEA identified the bent strap clamp iron as the critical failure with the highest risk worth RPN 280. Root Cause Analysis (RCA) shows the root cause of the downtime problem so that alternative recommended improvements include routine training, implementation SOPs, inspection raw materials, and selecting high-quality suppliers.
Sistem Perawatan Alat Overhead Crane Dengan Metode Reliability Centered Maintenance (RCM) II dan Age Replacement Ferdiansyah Wendyantoro; Indah Apriliana Sari Wulandari
Physical Sciences, Life Science and Engineering Vol. 3 No. 2 (2026): March
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v3i2.695

Abstract

Equipment maintenance is very important to ensure that the equipment operates properly within a certain period of time. PT. XYZ, which is engaged in the shipping industry, uses a demag type overhead crane with a capacity of 5 tons in its production process. This study aims to evaluate the reliability level of overhead cranes in existing conditions by calculating the reliability value. In addition, this study also aims to determine the critical component replacement interval appropriately so that replacement is carried out before downtime occurs. The results of the study identified three critical components, namely Contactor, Photoelectric Sensor, and Motor Hoist, with MTTR values ​​of 3.65667 hours, 4.15333 hours, and 1.1546 hours, respectively. The application of the age replacement method showed an increase in reliability: Contactor 39%, Photoelectric Sensor 40%, and Motor Hoist 83%. The recommended component replacement interval is every 11 days to reduce downtime and increase operational efficiency.
Penguatan Brand Awareness dan Optimalisasi Produksi Opak Samiler melalui Pendampingan Teknologi di Desa Wonosunyo Pasuruan Indah Apriliana Sari Wulandari; Vera Virdaus; Jamaaludin Jamaaludin; Fajar Sulastri; Riska Novia Febriyanti
Abdimas Pedagogi: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 8 No. 2 (2025)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um050v8i22025p217-223

Abstract

Program pengabdian masyarakat tahun 2025 ini dilaksanakan di Desa Wonosunyo, Kabupaten Pasuruan Jawa Timur untuk memperkuat Brand Awareness dan Kapasitas produksi Opak Samiler “SAMIRAN”. Pelaku Usaha Usman Samitro adalah salah satu pelaku usaha Opak Samiler “SAMIRAN” yang satu tahun belakang ini menghadapi permintaan pasar yang cukup tinggi. Dimana permintaan Opak Samiler meningkat dari 30 kg/bulan menjadi 50kg/bulan. Usman Samitro mengalami kesulitan dalam menjaga konsistensi jumlah produk mentah, karena keterbatasan peralatan produksi, hasil gorengan juga masih mengandung minyak, sehingga produk tidak dapat dipasarkan di toko Oleh-oleh di Pasuruan. Oleh karena itu, tim melakukan pendampingan pada bidang Produksi, Manajemen, dan Pemasaran dengan menerapkan lima tahapan pendampingan yang meliputi Sosialisasi, Pelatihan, Penerapan Teknologi, Pendampingan, dan Evaluasi berkelanjutan. Inovasi teknologi diberikan untuk peningkatan kapasitas dan kualitas produksi mitra berupa mesin cetak samiler, spinner untuk menghilangkan minyak berlebih, sealer untuk mengemas produk, stempel kode produksi untuk memberikan informasi produksi, dan alat potong pengganti gunting agar mengurangi cedera pada jari operator. Pendampingan di bidang Manajemen dengan memberikan motivasi usaha, pencatatan target bulanan, serta peluang mitra usaha. Dan dalam bidang Pemasaran, dengan memberikan pendampingan pengenalan produk Opak SAMIRAN pada toko Oleh-oleh Cheng Ho, Cimory, serta Suryamart. Hasil dari pendampingan menunjukkan produksi yang lebih cepat, kualitas yang terstandarisasi, kemasan yang lebih menarik dan ergonomis, bertambahnya tiga pelanggan baru sekaligus menjadi reseller. Pemasaran Opak juga mulai dikenalkan pada pemasaran digital seperti Shopee, Tokopedia, serta pelayanan pesanan melalui whatsapp yang terus meningkat secara signifikan sebesar 70% lebih tinggi dibandingkan tahun sebelumnya.
Analisa Penyebab Kerusakan Mesin Tenun dengan Menggunakan Integrasi FMEA, FTA, dan Age Replacement Farhan Ramadhan; Indah Apriliana Sari W
KOLONI Vol. 5 No. 3 (2026): SEPTEMBER 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i3.1125

Abstract

Weaving machines play a crucial role in ensuring the smooth running of the textile production process. Repeated machine failures can lead to decreased production output and increased downtime. This study aims to identify potential failures, analyze the root causes of weaving machine failures, and prioritize appropriate repairs. The methods used are Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) to identify failure modes and root causes of damage, as well as the Age Replacement method through the calculation of Mean Time Between Failure (MTBF) and Mean Time To Failure (MTTF) to analyze the level of machine reliability. Data were obtained from observations, interviews, and historical data of machine failures. The findings indicate that the shuttle, oil pump, and connecting rod are the most critical components of the weaving machine, as they recorded the highest Risk Priority Number (RPN) values of 360, 280, and 245, respectively. These results suggest that the three components should be given priority in maintenance planning. The analysis further revealed that their failures are primarily associated with component wear, excessive friction, poor lubricant quality, blockage within the lubrication system, excessive operating loads, high vibration levels, and improper component installation. Based on the Age Replacement analysis, the recommended preventive maintenance interval is 243 operating hours for repairable components and 87.4 operating hours for non-repairable components. Implementing these maintenance intervals is expected to reduce the frequency of machine failures, minimize downtime, and improve the overall reliability and operational performance of the weaving machine.
OPTIMALISASI PROSES PRODUKSI DENGAN METODE GREEN VALUE STREAM MAPPING (GVSM) DAN SIMULASI SISTEM STUDI KASUS PT. CAMPINA ICE CREAM INDUSTRY TBK Muhammad Nur Ramadhan; Indah Apriliana Sari
JISO : Journal of Industrial and Systems Optimization Vol. 9 No. 1 (2026): Juni 2026
Publisher : Universitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/jiso.v9i1.128-139

Abstract

ABSTRAK Proses produksi di industri es krim memiliki sistem yang kompleks secara energi sehingga menyebabkan pemborosan secara operasional dan lingkungan. Kendala pokok pada kajian ini adalah bagaimana cara paling efisien memproduksi es krim di PT Campina Ice Cream Industry Tbk guna menurunkan durasi tunggu dan mengoptimalkan kinerja lingkungan. Kajian ini memanfaatkan metode Green Value Stream Mapping (GVSM) guna menguraikan kondisi aktual serta menganalisis pemborosan operasional dan green waste pada setiap proses produksi. Kemudian disusun kondisi perbaikan (future state) yang berfokus pada pengoptimalan efisiensi dan pengurangan dampak lingkungan. Guna mengkaji efisiensi usulan perbaikan, dimanfaatkan simulasi sistem berbasis discrete-event simulation menggunakan Python. Hasil kajian mengemukakan bahwa penerapan GVSM dapat menganalisis titik bottleneck, aktivitas non-value added, serta proses dengan konsumsi energi tinggi. Hasil simulasi sistem pada skenario perbaikan mengindikasikan penurunan waktu antre, reduksi work in process (WIP), serta efisiensi aliran produksi dan kinerja lingkungan yang lebih optimal. Simpulan kajian ini menunjukkan bahwa integrasi GVSM dan simulasi sistem efektif digunakan sebagai pendekatan optimalisasi proses produksi yang berorientasi pada efisiensi dan keberlanjutan di industri es krim. ABSTRACT The production process in the ice cream industry is complex and energy-intensive, leading to potential operational and environmental waste. The primary issue examined in this study is how to enhance the production process at PT Campina Ice Cream Industry Tbk in order to minimize waiting time and improve environmental performance. This research utilizes the Green Value Stream Mapping (GVSM) approach to analyze the current production flow and identify both operational and environmental waste at each stage. Based on the findings, a proposed future state is developed that emphasizes increased efficiency and reduced environmental impact. The effectiveness of the improvement scenarios is evaluated using system simulation through discrete-event simulation implemented in Python. The results indicate that GVSM effectively identifies bottlenecks, non-value-added activities, and processes with high energy consumption. Simulation results of the proposed scenarios show a reduction in waiting time, decreased work in process (WIP), and improved production flow efficiency and environmental performance. In conclusion, the integration of GVSM and system simulation is an effective approach for optimizing production processes while supporting sustainability in the ice cream manufacturing industry.
Strategi Perawatan Preventif dan Perbaikan Kerusakan Sistem Hidrolik Serta Mesin pada Forklift Diesel menggunakan metode FMEA dan metode RCM M. Hilman Hadafi; Indah Apriliana Sari W
KOLONI Vol. 5 No. 3 (2026): SEPTEMBER 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v5i3.1222

Abstract

PT. XYZ merupakan suatu perusahaan yang bergerak pada layanan jasa rental dan jasa servis forklift diesel yang mengalami permasalahan tingginya tingkat kerusakan pada sistem hidrolik dan mesin sehingga menyebabkan downtime dan menurunkan produktivitas waktu operasional. Penelitian ini bertujuan untuk mengidentifikasi komponen penting dan menentukan strategi perawatan yang paling efektif menggunakan metode Failure Mode and Effect Analysis (FMEA) dan Reliability Centered Maintenance (RCM). Proses penelitian dilakukan dengan cara observasi, wawancara, dan dokumentasi terhadap data riwayat kerusakan forklift diesel yang kemudian dianalisis menggunakan FMEA untuk mendapatkan nilai Risk Priority Number (RPN) serta RCM untuk menetapkan strategi pemeliharaan. Hasil penelitian menunjukkan terdapat 18 kejadian kerusakan dengan total downtime 84 jam, di mana komponen paling kritis adalah pompa hidrolik (RPN 288), seal silinder hidrolik (RPN 224), injektor (RPN 192), selang hidrolik (RPN 160), dan filter hidrolik (RPN 140). Berdasarkan hasil RCM, strategi pemeliharaan yang direkomendasikan meliputi Scheduled Restoration Task, Scheduled Discard Task, dan Scheduled On Condition Task sesuai karakteristik masing-masing komponen. Penerapan kedua metode tersebut diharapkan mampu mengurangi frekuensi kerusakan, menekan downtime, meningkatkan pendinginan forklift diesel, serta mengoptimalkan biaya pemeliharaan di PT. XYZ.
Co-Authors Anisatul Makfiroh Athika Sidhi Cahyana Boy Isma Putra Cindy Taurusta Devinatasya Nurtarizka Effendi Dewi Komala Sari Dwi Wulandari Egha Arya Affandi Fajar Sulastri Fajar Sulastri Farhan Ramadhan Ferdiansyah Wendyantoro Fitria Eka Wulandari Fitria Trisna Sisiliani Fitriyah Nur Indahsari Hana Catur Wahyuni Hindarto Ida Agustini Saidi Ika Nur Aieni Inggit Mardiyah Jamaaludin Jamaaludin Luhur Arif Santoso Lukman Hudi M. Hilman Hadafi Meirani Id’ha Khusainiah Muhammad Nur Ramadhan mukamat dwiki hariantoro Niko Fediyanto Nur Ravita Hanum Nur Ravita Hanun Rahmah Utami Budiandari Ribangun Bamban Jakaria Rima Azara Riska Novia Febriyanti Satrio Sudarso Setya Budi Shazana Dhiya Ayuni Sonia Puspita Sari Vera Virdaus